Remote: Edge AI Inference Systems Architect

Utilidata; Ann Arbor (MI); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Flexible paid time off

Health, dental, vision benefits

Employer-match 401k

Job summary

A leading edge AI company is seeking an AI Infrastructure Engineer to design and build the infrastructure for AI and ML models across various deployments. This pivotal role requires over 5 years of software engineering experience, expertise in AI model serving, and proficiency in Python. The job offers a remote work option and a salary range of $170,000 to $210,000 based on experience, along with competitive benefits. Ideal candidates will excel in a collaborative, fast-paced environment.

Qualifications

• 5+ years of experience in software engineering focused on AI infrastructure.
• Hands-on experience with AI model serving frameworks like Triton or TensorRT.
• Understanding of container orchestration and cluster management.

Responsibilities

• Lead design and build of AI inference platform establishing architecture and operational practices.
• Build and maintain high-performance systems for serving AI models.
• Optimize GPU utilization and inference performance.

Skills

AI model serving frameworks

Backend systems

Distributed systems

GPU workloads

Python

Communication skills

Tools

Kubernetes

Docker

Terraform

Grafana

Job description

A leading edge AI company is seeking an AI Infrastructure Engineer to design and build the infrastructure for AI and ML models across various deployments. This pivotal role requires over 5 years of software engineering experience, expertise in AI model serving, and proficiency in Python. The job offers a remote work option and a salary range of $170,000 to $210,000 based on experience, along with competitive benefits. Ideal candidates will excel in a collaborative, fast-paced environment.